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A Review of Dynamic-Tribological Simulation Methods for Sliding Bearings in Internal Combustion Engines
Author(s) -
Dehui Tong,
Ziyu Diao,
Nannan Sun,
Xiangning Du,
Yanyan Zhang,
Zhentao Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2101/1/012014
Subject(s) - crankshaft , tribology , lubrication , bearing (navigation) , mechanical engineering , main bearing , combustion , field (mathematics) , process (computing) , internal combustion engine , materials science , automotive engineering , engineering , computer science , chemistry , mathematics , organic chemistry , artificial intelligence , pure mathematics , operating system
The problem of friction reduction and wear resistance of sliding bearings is one of the key factors in determining the overall performance of internal combustion engines. This paper investigated and summarized the theoretical and simulation models of multi-body dynamics of crankshaft system, tribology of sliding bearings, and the wear calculation methods of the shaft-bearing friction pairs. Existing studies show that the dynamics model, hybrid lubrication model, and the friction and wear models request to be upgraded by comprehensively considering the material, structure, manufacturing process, working conditions, and etc. Based on the research status and existing problems of the above analyses, this paper summarizes the simulation models applicable to the field of dynamics and tribology of sliding bearings and presents the prospects for optimization of wear calculation methods for sliding bearings.

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